Summary of Reward Machines For Deep Rl in Noisy and Uncertain Environments, by Andrew C. Li et al.
Reward Machines for Deep RL in Noisy and Uncertain Environmentsby Andrew C. Li, Zizhao Chen,…
Reward Machines for Deep RL in Noisy and Uncertain Environmentsby Andrew C. Li, Zizhao Chen,…
Anomaly Detection in Dynamic Graphs: A Comprehensive Surveyby Ocheme Anthony Ekle, William EberleFirst submitted to…
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injectionby Sebastian OtteFirst submitted to arxiv…
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averagingby Michail Theologitis, Georgios Frangias, Georgios Anestis, Vasilis…
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Predictionby Qinhua Jiang,…
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Dualityby Tri Dao,…
Persian Homograph Disambiguation: Leveraging ParsBERT for Enhanced Sentence Understanding with a Novel Word Disambiguation Datasetby…
Predictive Uncertainty Quantification for Bird’s Eye View Segmentation: A Benchmark and Novel Loss Functionby Linlin…
Conditioning GAN Without Training Datasetby Kidist Amde MekonnenFirst submitted to arxiv on: 31 May 2024CategoriesMain:…
Improving Generalization and Convergence by Enhancing Implicit Regularizationby Mingze Wang, Jinbo Wang, Haotian He, Zilin…